Real-time signal scoring for risk events
Designed a streaming detection pipeline that prioritizes high-risk activity and routes alerts with clear, explainable reasons.
Top outcomes
- Reduced review workload by 55%
- Improved detection precision by 38%
A curated set of delivery stories across AI, cloud, security, and analytics—focused on impact, clarity, and measurable improvements.
0
Active studies
Filtered by the category selection
0
Total studies
A compact library of outcomes and approaches
0+
Delivery categories
Organized by problem type and discipline
Designed a streaming detection pipeline that prioritizes high-risk activity and routes alerts with clear, explainable reasons.
Moved critical workloads with a phased cutover plan, automated provisioning, and guardrails for reliability and cost.
Introduced device posture checks, least-privilege access, and continuous verification without disrupting daily workflows.
Built a near real-time analytics layer with unified metrics, anomaly detection, and role-based dashboards.
Implemented a recommendation system with fast retrieval and safe fallbacks to improve discovery and engagement.
Automated triage playbooks and enriched alerts to help teams contain threats quickly and consistently.
Added automated checks, lineage visibility, and freshness monitoring so teams can trust critical metrics.
Introduced safer releases with canaries, automated rollbacks, and service-level signals for confidence.
Share what you’re building, and we’ll propose a clear plan with milestones, risks, and measurable success criteria.